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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8315F Research Area: Marine Science Select ‘PhD Marine Science (full time) as the programme of
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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pathway. This project is in collaboration with Dr Richie Abel from Imperial College London, who is an expert in bone biology and will provide the high-resolution computed tomography (CT) scans of the bone
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Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code:8209F
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with discrete element method (DEM). The research outcomes will provide critical
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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partners. They will develop advanced skills in experimental hydrodynamics, materials characterisation and computational simulation – highly sought after in the UK’s growing offshore energy sector
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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-of-the-art AI and computing facilities, receive tailored training and professional development, collaborate with experts across disciplines, and contribute to open-source tools that advance the wider AI